213 Senior Software Engineer Genai Team jobs in London

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Staff ML Engineer

Location: Remote(GLOBAL) London PREFERABLE

Freight forwarding is a $200B+ industry you might not know about, but it’s the backbone of the global economy, ensuring goods move seamlessly around the world. Freight forwarders—like DHL, FedEx, and UPS—act as “travel agents” for goods, managing the complex operations that keep supply chains running.

Surprisingly, this critical industry remains largely untouched by modern software, with many processes still managed manually or through outdated systems. The eco-system is so fragile that one missed email can disrupt an entire shipment, leading to delays, poor service, and financial losses.

At Raft, we’re building an AI platform to automate freight operations. From auditing invoices and preparing customs filings to syncing information across systems, we empower operators to work more efficiently and accurately. The impact? Faster service, fewer errors, and more time for businesses to focus on growth and customer service.

We’re fortunate to have the support of top investors who are just as passionate as we do about transforming the industry, including Eight Roads (Alibaba, Spendesk, Toast), Bessemer Venture Partners (LinkedIn, Twilio, Shopify), Episode 1 (Zoopla, Betfair, Shazam), and Dynamo Ventures (Sennder, Stord, Gatik).

What You’ll Do:

• Lead the design and deployment of end-to-end ML systems for enterprise applications, from experimentation to production.
• Apply large language models effectively:
• Fine-tune and evaluate LLMs for domain-specific tasks.
• Develop robust prompt engineering and orchestration strategies.
• Optimize inference pipelines for latency, throughput, and cost-efficiency.
• Write production-quality software with strong engineering rigor—designing clean APIs, building reliable systems, and collaborating closely with product engineers.
• Build high-reliability ML infrastructure: training pipelines, model registries, observability, and CI/CD for ML.
• Ensure ML solutions meet enterprise standards for security, compliance, data privacy (e.g., SOC2, GDPR), explainability, and auditability.
• Develop evaluation and monitoring frameworks that measure accuracy, fairness, robustness, and drift in deployed models.
• Partner with product and GTM teams to identify high-value enterprise use cases for ML and translate them into scalable solutions.
• Work directly with customer facing teams to help with important enterprise customer projects.
• Mentor engineers and raise the bar for technical excellence across the org.
• Influence technical strategy and help define the company’s long-term AI roadmap.

Who You’ll Be:

• An experienced Python developer with a strong grasp of data structures and algorithms, and an understanding of CI/CD pipelines.
• A Machine Learning professional proficient in data wrangling (SQL, pandas, NumPy) and scripting. You'll be skilled in supervised and unsupervised learning, model evaluation, and feature engineering.
• Knowledgeable in Deep Learning frameworks like PyTorch, with experience in various neural networks and NLP models. Exposure to generative and multi-modal models is a plus.
• A practitioner of MLOps, experienced in model serving, orchestration (Kubernetes), and experiment tracking. You'll be capable of designing and delivering large-scale ML systems and platforms, with a focus on cost optimization and reproducibility.
• Equipped with a solid foundation in linear algebra, probability, statistics, and calculus.
• An effective communicator who can translate complex technical concepts into clear business language and work collaboratively with non-technical stakeholders. You'll also be expected to provide technical leadership and mentor colleagues.

 This role might not be for you if.

• You're only interested in research or purely theoretical ML problems without building and maintaining production systems.
• You prefer working on consumer-facing applications over complex B2B SaaS platforms.
• You're not interested in providing technical leadership or mentoring a team through code reviews and architectural guidance.
• You're not comfortable taking ownership of projects end-to-end, from data ingestion to final delivery.

Apply Because You Want to.

• Join a dynamic, fast-growing company at the forefront of logistics technology, where you’ll be interacting with clients across various industries.
• Work in a client-centric role where your technical expertise helps solve real-world challenges for global businesses.
• Collaborate with diverse teams to create customized solutions that have a tangible impact on the efficiency of the logistics and freight industry.
• Thrive in a customer-facing, dynamic environment where you can grow your technical and communication skills.
• Be part of a diverse, inclusive, and multi-cultural team that values continuous learning and innovation.

At Zego, we know that traditional motor insurance holds good drivers back. It’s too complicated, too expensive, and it doesn't take into account how well you actually drive. 

That’s why, since 2016, we’ve been on a mission to change all of that. Our mission at Zego is to offer the lowest priced insurance for good drivers.

From van drivers and gig workers to everyday car drivers, our customers are our driving force — they’re at the heart of everything we do.

We’ve sold tens of millions of policies so far, and raised over $200 million in funding. And we’re only just getting started.

Who we're looking for

We are looking for a Lead Machine Learning Engineer to play a key role in our Core Pricing team. You will drive innovation by optimising and automating Pricing processes to enable faster, more accurate decision-making. Your work will focus on developing and maintaining tooling and frameworks that enhance the efficiency of our predictive models, reducing deployment times, increasing scalability, and improving model performance through regular updates and monitoring. You will work closely with our Data Scientists, Actuaries, and Product team to deliver scalable, production-grade ML systems.

Key Responsibilities

• Build model lifecycle tooling (deployment, monitoring and alerting) for our predictive models (for example claims cost, conversion, retention, market models)
• Maintain and improve the development environment (Kubeflow) used by our Data Scientists and Actuaries
• Develop and maintain pricing analytics tools that enable faster impact assessments, reducing manual work
• Collaborate with the technical pricing, street pricing and product teams to gather requirements and feedback on tooling and to build impactful technology
• Communicate complex concepts to technical and non-technical stakeholders through clear storytelling

Required Skills

• Education: Bachelor’s or Master’s degree in Statistics, Data Science, Computer Science or related field
• Experience: Proven experience in ML model lifecycle management
• Core Competencies :
• Model lifecycle: You’ve got hands-on experience with managing the ML model lifecycle, including both online and batch processes
• Statistical Methodology: You have worked with GLMs and other machine learning algorithms and have in-depth knowledge of how they work
• Python: You have built and deployed production-grade Python applications and you are familiar with data science libraries such as pandas and scikit-learn
• Tooling & Environment :
• DevOps: You have experience working with DevOps tooling, such as gitops, Kubernetes, CI/CD tools (we use buildkite) and Docker
• Cloud: You have worked with cloud-based environments before (we use AWS)
• SQL: You have a good grasp of SQL, particularly with cloud data warehouses like Snowflake
• Version control: You are proficient with git
• Soft Skills:  
• You are an excellent communicator, with an ability to translate non-technical requirements into clear, actionable pieces of work
• You have proven your project management skills, with the ability to manage multiple priorities
• You have worked closely together in cross-functional teams, including with Data Scientists, Actuaries, and Product Managers

Nice To Have

• Experience in UK motor insurance
• Telematics Data: Familiarity with behavioural driving data and its application in insurance pricing
• Understanding of pricing modelling tools such as Akur8 or Emblem
• Experience with IaC (we use Terraform)
• Experience with gRPC/protobuf

What’s it like to work at Zego?

Joining Zego is a career-defining move. People go further here, reaching their full potential to achieve extraordinary things. 

We’re spread throughout the UK and Europe, and united by our drive to get things done. We’re proud of our company and our culture – a friendly and inclusive space where we can lift each other up and celebrate our wins every day.

Together, we’re setting the bar higher, delivering exceptional work that makes a difference. Our people are the most important part of our story, and everyone here plays a role. There’s loads of room to learn and grow, and you’ll get the freedom to steer your career wherever you want.

You’ll work alongside a talented group who embrace each other's differences and aren’t afraid of a challenge. We recognise our achievements, learn from our mistakes, and help each other to be the best we can be. Together, we’re making insurance matter. 

How we work

We believe that teams work better when they have time to collaborate and space to get things done. We call it Zego Hybrid. We ask you to spend at least one day a week in our central London office. We think it’s a good mix of collaborative face time and flexible home-working, setting us up to achieve the right balance between work and life.

Our approach to AI

We believe in the power of AI to meaningfully improve how we work - helping us move faster, think differently, and focus on what matters most. At Zego, we encourage people to stay curious and intentional about how AI is leveraged in their work and teams to drive practical impact every day. This is your chance to do the most meaningful work of your career - and we’ll provide you with the tools, support, and freedom to do it well.

Benefits

We reward our people well. Join us and you’ll get a market-competitive salary, private medical insurance, company share options, generous holiday allowance, and a whole lot of wellbeing benefits. We also offer an annual flexible hybrid working contribution, which you can use to support with your travel to the office or towards your own personal development. And that’s just for starters.

There’s more to Zego than just a job - Check out our blog for insights, stories, and more.

We’re an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, or disability status.

#LI-IL1

#LI-Hybrid

Coders Connect has partnered with an innovative start-up who are embarking on an incredible journey with an AI-powered song-generation platform.

A small, dynamic team in London is revolutionizing the music industry by creating fresh and captivating songs across various genres. As a Machine Learning Engineer, you'll dive into the heart of this groundbreaking project, working on the Desinging and implementation of Data Pipelines, research, finetune and develop state-of-the-art generative AI models. Embrace the endless possibilities as the platform extends to the Web (WASM), Android, iOS, and even virtual reality!

If your passion for music harmonizes perfectly with your Machine Learning skills, this opportunity is tailor-made for you! Don't miss out on this thrilling adventure. Apply and shape the future of AI music production!